Multivariate Analysis of Quality: An Introduction

Ön Kapak
John Wiley & Sons, 8 Şub 2001 - 466 sayfa
Data analysis is a vital part of science today, and in assessing quality, multivariate analysis is often necessary in order to avoid loss of essential information. Martens provides a powerful and versatile methodology that enables researchers to design their investigations and analyse data effectively and safely, without the need for formal statistical training.
* Offers an introductory explanation of multivariate analysis by graphical 'soft modelling'
* Minimises mathematics, providing all technical details in the appendix
* Presents itself in an accessible style with cartoons, self-assessment questions and a wide range of practical examples
* Demonstrates the methodology for various types of quality assessment, ranging from human quality perception via industrial quality monitoring to environmental quality and its molecular basis
All data sets available FREE online on "Chemometrics World" (http://www.wiley.co.uk/wileychi/chemometrics)
 

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İçindekiler

OVERVIEW Chapters 13
1
Qualimetrics for Determining Quality
25
A Laymans Guide to Multivariate Data Analysis
51
METHODOLOGY Chapters 411
77
Principal Component Analysis
93
Partial Least Squares
111
Example of a Multivariate Calibration Project
127
Exploring
139
Effect Correction
374
Appendix A5 PCA Details
377
Equivalent PCA Representations
378
Scaling and Rotation of Bilinear Models
379
Correlation Loadings for X
380
Missing Values
381
Appendix A6 PLS Regression Details
382
ta
383

Peoples Perception X
148
Handling
157
Validation X? Y22
177
Experimental Planning Y2 X
207
Quality Determination of Wheat
235
What Determines Quality
257
Predicting Toxicity
275
Quality Monitoring
297
Reducing
323
APPENDICES A1A16
355
Appendix A2 Sensory Science
362
Appendix A4 Mathematical Details
370
Some Useful Statistical Expressions
371
Median Quartiles Percentiles
373
Comments on the PLSR Algorithm
384
PLSR Draws on Two Sources of Structure
385
Disagreement Between X and Y
386
Appendix A7 Modelling the Unknown
388
Appendix A8 Nonlinearity and Weighting
389
the Use of Prior Knowledge to Scale the Input Variables for BLM
390
Graphical Consequences of the Weighting
391
Appendix A9 Classification and Outlier Detection
394
Appendix A11 Power Estimation Details
410
Appendix A13 Consequences of the Working Environment Survey
418
References
427
Index
435
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Sayfa 433 - The multivariate calibration problem in chemistry solved by the PLS method,

Yazar hakkında (2001)

Harald Martens, Professor of Chemometrics, Norwegian University of Science and Technology, and Technical University of Denmark. He is co-author of the best selling book, Multivariate Calibration, also published by John Wiley & Sons. He has won many awards for his work in data analysis including in 1999 the Galactic Industries Prize and the Herman World medal. His present developments have also been incorporated by CAMO Inc in their latest version of The Unscrambler.

Magni Martens, Professor of Sensory Science, Royal Veterinary & Agricultural University, Denmark. She has also won awards for her work in sensory science including in 2000 the prestigious Carlsberg Research Foundation proze. She has published numerous papers on multivariate data analysis for relating "soft" human quality perception to "hard" facts and measurements.

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